Spatial and temporal synchronization of water and energy systems: Towards a single integrated optimization model for long-term resource planning

被引:78
|
作者
Khan, Zarrar [1 ,4 ]
Linares, Pedro [1 ]
Rutten, Martine [2 ]
Parkinson, Simon [3 ,4 ]
Johnson, Nils [4 ]
Garcia-Gonzalez, Javier [1 ]
机构
[1] Univ Pontificia Comillas, Inst Invest Tecnol, Alberto Aguilera 23, Madrid 28015, Spain
[2] Delft Univ Technol, Water Management Civil Engn & Geosci, POB 5048, NL-2600 GA Delft, Netherlands
[3] Univ Victoria, Inst Integrated Energy Syst, Victoria, BC, Canada
[4] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria
关键词
Water-energy nexus; Integrated planning; Optimization modeling; CLIMATE-CHANGE; MANAGEMENT; NEXUS; CONSTRAINTS; STRATEGIES; FRAMEWORK; IMPACTS; CONTEXT; FUTURE; PLANTS;
D O I
10.1016/j.apenergy.2017.05.003
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Predictions show that pressure on already limited water and energy resources is expected to increase in many parts of the world as a result of growing populations, rapid urbanization, increasing pollution and climate change impacts. With water and energy playing a critical role in socio-economic development, ensuring resource security is a top policy concern. However, achieving this efficiently requires taking into account the various links between the two sectors through their joint management. Feedback between the water and energy sectors exists across system life-cycles and links the resources both spatially and temporally. Tracking the impacts of policies made in one sector on the other can thus be complicated and several 'nexus' methodologies have beep developed to try and address these issues. However, the different physical, temporal and spatial characteristics of the water and energy systems present several hurdles in analyzing the two resources simultaneously. This paper overcomes many of these problems with a new, fully coupled water-energy optimization model. Based on a review of contemporary literature, the model develops an original methodology to hard-link the two systems in detail across spatial and temporal scales, as well as between individual system processes throughout the life-cycle of each resource. In addition, the model also tracks changes in water quality through each process, allowing for detailed accounting of the energy needs for water treatment. The methodology proposed in this paper can be used to investigate various cross-sectoral issues and policies such as: water availability and temperature impacts on power plant cooling; emission constraint and biofuel expansion planning impacts on water resources; and the implications of water infrastructure expansion on the energy system. The capabilities of the coupled model are investigated in an example case study for Spain. An integrated approach is shown to have several benefits including lower total costs, better resource efficiency and improved robustness for a wide range of variations in several uncertain parameters. Coupled water-energy planning thus provides a critical opportunity to improve resource security and prevent inefficient decisions which could exacerbate problems even further. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:499 / 517
页数:19
相关论文
共 49 条
  • [31] Short-Term Flood Control and Long-Term Energy Maximization in Multi-reservoir Systems Using Improved Particle Swarm Optimization
    Guvengir, Umut
    Savasaneril, Secil
    Altan-Sakarya, A. Burcu
    Buhan, Serkan
    WATER RESOURCES MANAGEMENT, 2021, 35 (13) : 4293 - 4307
  • [32] Influence of Electrification Pathways in the Electricity Sector of Ethiopia-Policy Implications Linking Spatial Electrification Analysis and Medium to Long-Term Energy Planning
    Pappis, Ioannis
    Sahlberg, Andreas
    Walle, Tewodros
    Broad, Oliver
    Eludoyin, Elusiyan
    Howells, Mark
    Usher, Will
    ENERGIES, 2021, 14 (04)
  • [33] Assessment of long-term water demand for the Mgeni system using Water Evaluation and Planning (WEAP) model considering demographics and extended dry climate periods
    Nagan, Vernon
    Seyam, Mohammed
    Abunama, Taher
    WATER SA, 2023, 49 (04) : 338 - 354
  • [34] Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series
    Cao, Mengmeng
    Mao, Kebiao
    Shen, Xinyi
    Xu, Tongren
    Yan, Yibo
    Yuan, Zijin
    REMOTE SENSING, 2020, 12 (21) : 1 - 31
  • [35] Long-Term Forecast of Energy Demand towards a Sustainable Future in Renewable Energies Focused on Geothermal Energy in Peru (2020-2050): A LEAP Model Application
    Torres, Diego G. de la Cruz
    Mazadiego, Luis F.
    Bolonio, David
    Pons-Esparver, Ramon Rodriguez
    SUSTAINABILITY, 2024, 16 (12)
  • [36] Analysis on Long-Term Emission and Reduction Potential of Greenhouse Gases in the Industrial Sector of Seosan City of Korea Using Long-Range Energy Alternatives Planning Model
    Chung, Jindo
    Yoon, Sangwook
    ASIAN JOURNAL OF CHEMISTRY, 2014, 26 (13) : 4043 - 4048
  • [37] Development of a predictive model for integrated medical and long-term care resource consumption based on health behaviour: application of healthcare big data of patients with circulatory diseases
    Takura, Tomoyuki
    Goto, Keiko Hirano
    Honda, Asao
    BMC MEDICINE, 2021, 19 (01)
  • [38] Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS
    Lei, Dayong
    Zhang, Zhonghui
    Wang, Zhaojun
    Zhang, Liuyu
    Liao, Wei
    ENERGY, 2023, 280
  • [39] Multi-Time-Scale Resource Allocation Based on Long-Term Contracts and Real-Time Rental Business Models for Shared Energy Storage Systems
    Zhuang, Yuxuan
    Li, Zhiyi
    Tan, Qipeng
    Li, Yongqi
    Wan, Minhui
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (02) : 454 - 465
  • [40] Long-Term Conservation Agriculture and Intensified Cropping Systems: Effects on Growth, Yield, Water, and Energy-use Efficiency of Maize in Northwestern India
    Parihar, Chiter M.
    Yadav, Malu R.
    Jat, Shankar L.
    Singh, Aditya K.
    Kumar, Bhupender
    Pooniya, Vijay
    Pradhan, Sanatan
    Verma, Rakesh K.
    Jat, Mangi L.
    Jat, Raj K.
    Parihar, Muli D.
    Nayak, Hari S.
    Saharawat, Yashpal S.
    PEDOSPHERE, 2018, 28 (06) : 952 - 963